Parallel evolution of influenza across multiple spatiotemporal scales
eLife, ISSN: 2050-084X, Vol: 6
2017
- 101Citations
- 180Captures
- 45Mentions
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations101
- Citation Indexes101
- CrossRef101
- 90
- Captures180
- Readers180
- 180
- Mentions45
- News Mentions35
- News35
- Blog Mentions10
- Blog10
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Article Description
Viral variants that arise in the global influenza population begin as de novo mutations in single infected hosts, but the evolutionary dynamics that transform within-host variation to global genetic diversity are poorly understood. Here, we demonstrate that influenza evolution within infected humans recapitulates many evolutionary dynamics observed at the global scale. We deep-sequence longitudinal samples from four immunocompromised patients with long-term H3N2 influenza infections. We find parallel evolution across three scales: within individual patients, in different patients in our study, and in the global influenza population. In hemagglutinin, a small set of mutations arises independently in multiple patients. These same mutations emerge repeatedly within single patients and compete with one another, providing a vivid clinical example of clonal interference. Many of these recurrent within-host mutations also reach a high global frequency in the decade following the patient infections. Our results demonstrate surprising concordance in evolutionary dynamics across multiple spatiotemporal scales.
Bibliographic Details
10.7554/elife.26875; 10.7554/elife.26875.014; 10.7554/elife.26875.002; 10.7554/elife.26875.018; 10.7554/elife.26875.003; 10.7554/elife.26875.027; 10.7554/elife.26875.001; 10.7554/elife.26875.026; 10.7554/elife.26875.005
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85022344036&origin=inward; http://dx.doi.org/10.7554/elife.26875; http://www.ncbi.nlm.nih.gov/pubmed/28653624; https://elifesciences.org/articles/26875#fig3; http://dx.doi.org/10.7554/elife.26875.014; https://elifesciences.org/articles/26875#digest; http://dx.doi.org/10.7554/elife.26875.002; https://elifesciences.org/articles/26875#fig4; http://dx.doi.org/10.7554/elife.26875.018; https://elifesciences.org/articles/26875#fig1; http://dx.doi.org/10.7554/elife.26875.003; https://elifesciences.org/articles/26875#author-response; http://dx.doi.org/10.7554/elife.26875.027; https://elifesciences.org/articles/26875; https://elifesciences.org/articles/26875#abstract; http://dx.doi.org/10.7554/elife.26875.001; http://dx.doi.org/10.7554/elife.26875.026; https://cdn.elifesciences.org/articles/26875/elife-26875-v1.pdf; https://cdn.elifesciences.org/articles/26875/elife-26875-v1.xml; https://elifesciences.org/articles/26875#fig2; http://dx.doi.org/10.7554/elife.26875.005; https://elifesciences.org/articles/26875#decision-letter; https://dx.doi.org/10.7554/elife.26875
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